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-# AI Conference Summarization System - Implementation Guide
-
-## Overview
-
-This enhanced system transforms your basic transcription service into a comprehensive AI-powered conference analysis platform that combines:
-
-- **Speech transcription** with speaker identification
-- **Computer vision** for slide/document analysis  
-- **Multi-format file processing** (PDF, Word, Excel, PowerPoint, etc.)
-- **Intelligent frame extraction** from videos
-- **Advanced AI summarization** using Azure AI Agents
-
-## 📁 New File Structure
-
-```
-your-project/
-├── app.py                    # ✅ Updated main Gradio interface
-├── app_core.py              # ✅ Extended backend with AI features  
-├── backend.py               # ⚠️  Keep existing (imported by app_core.py)
-├── ai_summary.py            # 🆕 AI summarization core logic
-├── file_processors.py       # 🆕 Multi-format file processing
-├── image_extraction.py      # 🆕 Video frame extraction with CV
-├── requirements.txt         # ✅ Updated with new dependencies
-├── .env.example             # ✅ Updated environment template
-├── README.md               # ⚠️  Update with new features
-├── temp/                   # 📁 Temporary files (auto-created)
-├── uploads/                # 📁 File uploads (existing)
-├── database/               # 📁 SQLite database (existing)
-└── logs/                   # 📁 Application logs (optional)
-```
-
-## 🔧 Setup Instructions
-
-### 1. Install Dependencies
-
-```bash
-pip install -r requirements.txt
-```
-
-### 2. Configure Azure Services
-
-You need to set up these Azure services:
-
-#### A. Existing Services (keep current configuration)
-- **Azure Speech Services** - For transcription
-- **Azure Blob Storage** - For file storage
-
-#### B. New Services Required
-
-**Computer Vision API:**
-- Location/Region: eastus
-- Endpoint: `https://image-process-256808.cognitiveservices.azure.com/`
-- Get API key from Azure portal
-
-**AI Agents Service:**
-- Project endpoint: `https://aiservicetesting001.services.ai.azure.com/api/projects/aiagentdeplyomentproject`
-- Agent ID: `asst_8isTjrGPs8M0d1RhkNONDtHK`
-- Get API key from Azure AI Studio
-
-### 3. Update Environment Configuration
-
-Copy `.env.example` to `.env` and fill in your actual values:
-
-```bash
-cp .env.example .env
-```
-
-**Critical new environment variables:**
-```bash
-# Computer Vision
-COMPUTER_VISION_ENDPOINT=https://your-cv-endpoint.cognitiveservices.azure.com/
-COMPUTER_VISION_KEY=your_computer_vision_key
-COMPUTER_VISION_REGION=eastus
-
-# AI Agents  
-AI_PROJECT_ENDPOINT=https://your-ai-project.services.ai.azure.com/api/projects/your-project
-AI_PROJECT_KEY=your_ai_project_key
-AI_AGENT_ID=your_agent_id
-```
-
-### 4. Database Migration
-
-The system will automatically create new tables for AI summary jobs when started. The extended database includes:
-
-- `summary_jobs` table for AI summarization requests
-- Additional indexes for performance
-- Extended user statistics
-
-### 5. File Permissions
-
-Ensure the application can write to:
-```bash
-chmod 755 temp/
-chmod 755 uploads/  
-chmod 755 database/
-```
-
-## 🚀 New Features Overview
-
-### 1. AI Summary Conference Tab
-
-**Three Processing Modes:**
-- **Batch Transcript:** Use existing transcripts from your history
-- **Upload New Media:** Process new videos, audio, documents, images
-- **Mixed Mode:** Combine both approaches
-
-**Supported File Types:**
-- **Video:** MP4, MOV, AVI, MKV, WebM, FLV (with frame extraction)
-- **Audio:** WAV, MP3, OGG, OPUS, FLAC, M4A, AAC
-- **Documents:** PDF, Word (.docx/.doc), PowerPoint (.pptx/.ppt)
-- **Data:** Excel (.xlsx/.xls), CSV, JSON, TXT  
-- **Images:** JPG, PNG, BMP, GIF (with OCR)
-
-### 2. Intelligent Video Processing
-
-**Smart Frame Extraction:**
-- Detects significant content changes (slide transitions)
-- Ignores minor movements (cursor, mouse)
-- Uses computer vision similarity analysis
-- Configurable similarity threshold (default: 85%)
-- Maximum frame limit for performance (default: 50)
-
-**Frame Analysis Pipeline:**
-1. Structural similarity comparison
-2. Histogram analysis for color changes  
-3. Edge detection for layout changes
-4. Combined weighted scoring
-
-### 3. Computer Vision Integration
-
-**OCR Text Extraction:**
-- Reads text from slides, documents, images
-- Handles multiple languages
-- Preserves text positioning and structure
-
-**Visual Content Analysis:**
-- Describes images and charts
-- Identifies visual elements
-- Extracts metadata and confidence scores
-
-### 4. Multi-Format Document Processing
-
-**Advanced Document Handlers:**
-- **PDF:** PyPDF2 + pdfplumber fallback
-- **Word:** python-docx with table extraction
-- **PowerPoint:** python-pptx with slide-by-slide processing
-- **Excel:** openpyxl + pandas with sheet separation
-- **CSV/JSON:** Smart parsing with encoding detection
-
-### 5. AI-Powered Summarization
-
-**Contextual Analysis:**
-- Combines transcripts, documents, and visual content
-- User prompt integration for corrections and focus
-- Configurable output formats
-- Action item extraction
-- Timestamp preservation
-
-## 🎯 User Experience Flow
-
-### For Conference Organizers:
-1. **Upload conference video** → System extracts key slides automatically
-2. **Add presentation PDFs** → Text content integrated with transcription
-3. **Provide context prompt** → "This is Q4 review, focus on budget decisions"  
-4. **Get comprehensive summary** → Executive summary with action items
-
-### For Meeting Participants:
-1. **Select existing transcripts** from previous sessions
-2. **Add supporting documents** shared during meetings
-3. **Specify focus areas** → "Extract technical decisions and timeline"
-4. **Download structured report** → Meeting minutes with timestamps
-
-### For Researchers:
-1. **Upload interview videos** → Automatic transcription + slide extraction
-2. **Include research documents** → Context integration
-3. **Custom analysis prompt** → "Identify key themes and participant insights"
-4. **Export detailed analysis** → Comprehensive research summary
-
-## 🔒 Security & Privacy Enhancements
-
-**User Data Separation:**
-- Each user's AI jobs stored in separate database partitions
-- Blob storage maintains user-specific folders
-- No cross-user data access possible
-
-**GDPR Compliance Extensions:**
-- AI summary jobs included in data exports
-- Complete deletion covers all AI-generated content
-- Audit trail for all AI processing activities
-
-**Enterprise Security:**
-- Azure Cognitive Services enterprise-grade security
-- All processing done within your Azure tenant
-- No data leaves your configured Azure region
-
-## 🚦 Performance Considerations
-
-**Resource Usage:**
-- Video processing: CPU-intensive for frame extraction
-- AI summarization: Network-intensive for API calls
-- Document processing: Memory-intensive for large files
-
-**Optimization Tips:**
-- Limit video duration to 2 hours for optimal performance
-- Use high-quality source videos for better frame extraction
-- Process large document batches during off-peak hours
-
-**Scaling Options:**
-- Increase `MAX_CONCURRENT_JOBS` for parallel processing
-- Add more Azure Cognitive Services units for higher throughput
-- Consider Azure Container Instances for horizontal scaling
-
-## 🛠️ Troubleshooting
-
-### Common Issues:
-
-**AI Features Not Available:**
-```python
-# Check this message in logs:
-"⚠️ AI Summary features not available: ImportError"
-```
-- Verify all dependencies installed: `pip install -r requirements.txt`
-- Check Azure service credentials in `.env`
-- Confirm network access to Azure endpoints
-
-**Frame Extraction Failing:**
-- Install OpenCV properly: `pip install opencv-python`
-- Check video file format compatibility
-- Verify sufficient disk space in `temp/` directory
-
-**Document Processing Errors:**
-- Install missing document processors: `pip install python-docx PyPDF2 openpyxl`
-- Check file permissions and encoding
-- Verify file formats are supported
-
-**AI Summarization Timeouts:**
-- Increase processing timeout in AI agent configuration
-- Check Azure AI service quotas and limits
-- Verify network connectivity to Azure AI endpoints
-
-### Debug Mode:
-
-Enable detailed logging:
-```bash
-export DEBUG=True
-export LOG_LEVEL=DEBUG
-```
-
-### Health Check Endpoints:
-
-The system includes built-in health checks for:
-- Database connectivity  
-- Azure services authentication
-- File processing pipeline
-- AI agent availability
-
-## 📈 Monitoring & Analytics
-
-**Built-in Metrics:**
-- Processing success/failure rates
-- Average processing times by file type  
-- User engagement with AI features
-- Resource usage patterns
-
-**Log Files:**
-- `app.log` - Application events
-- `ai_processing.log` - AI-specific operations
-- `error.log` - Error tracking
-
-## 🔄 Migration from Previous Version
-
-**Automatic Migration:**
-- Existing transcription data preserved
-- New database tables created automatically  
-- User accounts and permissions maintained
-- Previous API endpoints remain functional
-
-**Manual Steps Required:**
-1. Update environment variables with new API keys
-2. Install additional Python dependencies
-3. Restart application to initialize new services
-
-## 🎉 Testing the Enhanced Features
-
-**Quick Test Sequence:**
-1. **Login** with existing account
-2. **Upload a short video** (2-3 minutes) with slides
-3. **Add a PDF document** related to the video content
-4. **Provide AI instructions** like "Create executive summary focusing on key decisions"
-5. **Monitor processing** through status updates
-6. **Download results** in markdown format
-
-**Expected Results:**
-- Video automatically transcribed with speaker identification
-- Key slides extracted and analyzed with OCR
-- PDF content integrated into analysis
-- Comprehensive summary combining all sources
-- Timestamps and action items identified
-
-This enhanced system transforms basic transcription into comprehensive conference intelligence, making it suitable for enterprise meetings, academic research, and professional content analysis.